Titlebook: Web and Wireless Geographical Information Systems; 19th International S Farid Karimipour,Sabine Storandt Conference proceedings 2022 Spring

贵族

engagement

,Efficient Multiscale Representations for Geographical Objects,hould depict every detail as it is the main focus on the map. On the contrary, when the user zooms out, there is no need to display every single detail of the object as most would become as small as to be invisible. A common technique to speed up the display process is storing several representation

发现

Towards Indoor Navigation Under Imprecision,or’s location can be precisely determined. However, the limitations of indoor positioning systems as well as personal privacy constraints mean it is not always possible to determine individual’s position precisely. This paper proposes an approach to developing new algorithms and tools for enabling i

开始发作

FRAX-tool

,Multiple Views Extraction from Semantic Trajectories,se where multi-dimensional semantic information represent human trajectories and contextual information arising in indoor and outdoor spaces. Users have different interests when interpreting and analysing trajectories. While some users just want to visualise the data, others require either higher-le

sterilization

,On the Impact of Location-related Terms in Neural Embeddings for Content Similarity Measures in Culds. A domain which could greatly benefit of this innovation is the one regarding Location-based and/or Touristic Recommender Systems, where the user receives suggestions based on his/her past liked items. In this work, we consider the use of neural embeddings weighted using Smooth-Inverse Frequency

健忘症

,Impact of COVID-19 on Tourists’ Travel Intentions and Behaviors: The Case Study of Hong Kong, Chinaas major human mobility disruptions at all scales, the tourism sector has been largely affected. This raises the need for the development of quantitative and qualitative research to favor a better understanding of the impact of the pandemic on human travel behaviors. This study introduces a computat

CHART

,Requirements of Voice Indoor Maps for Visually Impaired Persons,ually impaired people since 2010s. However there are also several technical challenges for its massive and public utilization. Limited efforts have been done for comprehensive requirement analysis and technical implementations, although a standard, Wayfindr has been published by ITU-F in 2017. In th

Tracheotomy

Post-analysis of OSM-GAN Spatial Change Detection,, etc.). We propose a novel map updating mechanism that combines the latest freely available remote sensing data with the current state of online vector map data to train a Deep Learning (DL) neural network. It uses a Generative Adversarial Network (GAN) to perform image-to-image translation, follow

Neolithic